An Experimental Study of Operator Choices in the (1+(λ,λ)) Genetic Algorithm
<p>This dataset contains experimental results that accompanies the same-named paper accepted to the MOTOR conference and scheduled to be published in a CCIS volume.</p> <p>The following data files are a part of this dataset, whose meaning should become clear after reading the paper:</p> <ul> <li>w1-runs.csv: the results of each of the runs, each of the configurations on the OneMax problem;</li> <li>w2-runs.csv: same for the LinInt<sub>2</sub> problem;</li> <li>w5-runs.csv: same for the LinInt<sub>5</sub> problem;</li> <li>ms-runs.csv: same for the easy random MAX-SAT instances;</li> <li>w1-stats.csv: the quartile statistics for the OneMax problem;</li> <li>w2-stats.csv: same for the LinInt<sub>2</sub> problem;</li> <li>w5-stats.csv: same for the LinInt<sub>5</sub> problem;</li> <li>ms-stats.csv: same for the easy random MAX-SAT instances;</li> <li>tunings-static.csv: the outcomes of irace for the static configurations (with fixed λ);</li> <li>tunings-dynamic.csv: the outcomes of irace for the dynamic configurations (with self-adjusting λ).</li> </ul> <p>Apart from that, the file pictures.pdf presents the contents of *-stats.csv files visually in a concide way.</p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 0